Results 31 to 40 of about 618,486 (256)
IEEE Access, 2023 A fine-grained detection of posture problems for action assessment has a wide range of applications for health care, sports, and rehabilitation. However, there exist many design challenges, e.g., the difficulty of detecting subtle deviations in actions ...
Chung-In Joung +2 more
doaj +1 more source
Frontiers in Medicine, 2021 Background: The high COVID-19 dissemination rate demands active surveillance to identify asymptomatic, presymptomatic, and oligosymptomatic (APO) SARS-CoV-2-infected individuals.
Nicolás Ambrosis +30 more
doaj +1 more source
Understanding the Barriers to Pooled SARS-CoV-2 Testing in the United States
Microbiology Spectrum, 2021 Pooled testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) detection is instrumental for increasing test capacity while decreasing test cost.
Eli P. Fenichel +4 more
doaj +1 more source
From Spectrum Pooling to Space Pooling: Opportunistic Interference Alignment in MIMO Cognitive Networks [PDF]
, 2009 We describe a non-cooperative interference alignment (IA) technique which allows an opportunistic multiple input multiple output (MIMO) link (secondary) to harmlessly coexist with another MIMO link (primary) in the same frequency band.
Debbah, M. +3 more
core +5 more sources
Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation [PDF]
, 2016 Deep neural networks with alternating convolutional, max-pooling and decimation layers are widely used in state of the art architectures for computer vision.
Honari, Sina +3 more
core +1 more source
3D Mesh Model Classification with a Capsule Network
Algorithms, 2021 With the widespread success of deep learning in the two-dimensional field, how to apply deep learning methods from two-dimensional to three-dimensional field has become a current research hotspot.
Yang Zheng +4 more
doaj +1 more source
Max-Pooling Loss Training of Long Short-Term Memory Networks for Small-Footprint Keyword Spotting
, 2017 We propose a max-pooling based loss function for training Long Short-Term Memory (LSTM) networks for small-footprint keyword spotting (KWS), with low CPU, memory, and latency requirements.
Fu, Gengshen +8 more
core +1 more source
Nonparametric regression with homogeneous group testing data
, 2012 We introduce new nonparametric predictors for homogeneous pooled data in the context of group testing for rare abnormalities and show that they achieve optimal rates of convergence.
Delaigle, Aurore, Hall, Peter
core +1 more source
On the Statistical Multiplexing Gain of Virtual Base Station Pools [PDF]
, 2014 Facing the explosion of mobile data traffic, cloud radio access network (C-RAN) is proposed recently to overcome the efficiency and flexibility problems with the traditional RAN architecture by centralizing baseband processing.
Gong, Jie +4 more
core +1 more source
Set Aggregation Network as a Trainable Pooling Layer
, 2019 Global pooling, such as max- or sum-pooling, is one of the key ingredients in deep neural networks used for processing images, texts, graphs and other types of structured data. Based on the recent DeepSets architecture proposed by Zaheer et al.
Maziarka, Łukasz +5 more
core +1 more source